Careers

Data Scientist - Financial Services Risk Modeling

At Tiger Analytics we like to solve complex business problems using advanced analytics.

The growing Financial Services vertical seeks self-motivated analysts and statistical modelers with superlative technical skills for a challenging role in the Financial Services Risk Modeling area.

Responsibilities for this job will focus on the model development, validation, model implementation, and model monitoring of CCAR / DFAST / IFRS/CECL stress testing and loss models for various global financial services clients.

As part of larger Data Science practice, you may get to work on a broad range of cutting-edge data analytics and machine learning problems across other industries. You will be engaging with clients to understand their business context, and work with a team of data scientists and engineers to embed AI and analytics into the business decision processes.

An ideal candidate should have:

4-6 years of experience in model development, in Risk and Marketing areas